Dataset Information

Distinct signatures of diversifying selection revealed by genome analysis of respiratory tract and invasive bacterial populations.

ABSTRACT: Many pathogens colonize different anatomical sites, but the selective pressures contributing to survival in the diverse niches are poorly understood. Group A Streptococcus (GAS) is a human-adapted bacterium that causes a range of infections. Much effort has been expended to dissect the molecular basis of invasive (sterile-site) infections, but little is known about the genomes of strains causing pharyngitis (streptococcal "sore throat"). Additionally, there is essentially nothing known about the genetic relationships between populations of invasive and pharyngitis strains. In particular, it is unclear if invasive strains represent a distinct genetic subpopulation of strains that cause pharyngitis. We compared the genomes of 86 serotype M3 GAS pharyngitis strains with those of 215 invasive M3 strains from the same geographical location. The pharyngitis and invasive groups were highly related to each other and had virtually identical phylogenetic structures, indicating they belong to the same genetic pool. Despite the overall high degree of genetic similarity, we discovered that strains from different host environments (i.e., throat, normally sterile sites) have distinct patterns of diversifying selection at the nucleotide level. In particular, the pattern of polymorphisms in the hyaluronic acid capsule synthesis operon was especially different between the two strain populations. This finding was mirrored by data obtained from full-genome analysis of strains sequentially cultured from nonhuman primates. Our results answer the long-standing question of the genetic relationship between GAS pharyngitis and invasive strains. The data provide previously undescribed information about the evolutionary history of pathogenic microbes that cause disease in different anatomical sites.

SUBMITTER: Shea PR

PROVIDER: S-EPMC3064369 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

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Distinct signatures of diversifying selection revealed by genome analysis of respiratory tract and invasive bacterial populations.

Shea Patrick R PR Beres Stephen B SB Flores Anthony R AR Ewbank Amy L AL Gonzalez-Lugo Javier H JH Martagon-Rosado Alexandro J AJ Martinez-Gutierrez Juan C JC Rehman Hina A HA Serrano-Gonzalez Monica M Fittipaldi Nahuel N Ayers Stephen D SD Webb Paul P Willey Barbara M BM Low Donald E DE Musser James M JM

Proceedings of the National Academy of Sciences of the United States of America 20110307 12

Many pathogens colonize different anatomical sites, but the selective pressures contributing to survival in the diverse niches are poorly understood. Group A Streptococcus (GAS) is a human-adapted bacterium that causes a range of infections. Much effort has been expended to dissect the molecular basis of invasive (sterile-site) infections, but little is known about the genomes of strains causing pharyngitis (streptococcal "sore throat"). Additionally, there is essentially nothing known about the ...[more]

PMID: 21383167

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Project description:The genetic differentiation of the current horse population was evolutionarily created by natural or artificial selection which shaped the genomes of individual breeds in several unique ways. The availability of high throughput genotyping methods created the opportunity to study this genetic variation on a genome-wide level allowing detection of genome regions divergently selected between separate breeds as well as among different horse types sharing similar phenotypic features. In this study, we used the population differentiation index (FST) that is generally used for measuring locus-specific allele frequencies variation between populations, to detect selection signatures among six horse breeds maintained in Poland. These breeds can be classified into three major categories, including light, draft and primitive horses, selected mainly in terms of type (utility), exterior, performance, size, coat color and appearance. The analysis of the most pronounced selection signals found in this study allowed us to detect several genomic regions and genes connected with processes potentially important for breed phenotypic differentiation and associated with energy homeostasis during physical effort, heart functioning, fertility, disease resistance and motor coordination. Our results also confirmed previously described association of loci on ECA3 (spanning LCORL and NCAPG genes) and ECA11 (spanning LASP1 gene) with the regulation of body size in our draft and primitive (small size) horses. The efficiency of the applied FST-based approach was also confirmed by the identification of a robust selection signal in the blue dun colored Polish Konik horses at the locus of TBX3 gene, which was previously shown to be responsible for dun coat color dilution in other horse breeds. FST-based method showed to be efficient in detection of diversifying selection signatures in the analyzed horse breeds. Especially pronounced signals were observed at the loci responsible for fixed breed-specific features. Several candidate genes under selection were proposed in this study for traits selected in separate breeds and horse types, however, further functional and comparative studies are needed to confirm and explain their effect on the observed genetic diversity of the horse breeds.

Dataset Information

Distinct signatures of diversifying selection revealed by genome analysis of respiratory tract and invasive bacterial populations.

Publications

Distinct signatures of diversifying selection revealed by genome analysis of respiratory tract and invasive bacterial populations.

Similar Datasets

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